Open AccessBook
Applied Geostatistics with SGeMS: A User's Guide
Nicolas Remy,Alexandre Boucher,Jianbing Wu +2 more
- 23 Mar 2009
TL;DR: In this article, the authors present a general overview of Geostatistics: a recall of concepts, data sets, SGeMS EDA tools, common parameter input interfaces, estimation algorithms and stochastic simulation algorithms.
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Abstract: 1. Introduction 2. General overview 3. Geostatistics: a recall of concepts 4. Data sets & SGeMS EDA tools 5. Variogram computation and modeling 6. Common parameter input interfaces 7. Estimation algorithms 8. Stochastic simulation algorithms 9. Utilities 10. Scripting, commands and plug-ins List of programs List of symbols Bibliography.
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Citations
•Posted Content
Framework of Fracture Network Modeling using Conditioned Data with Sequential Gaussian Simulation.
TL;DR: It is possible to conclude that the numerical simulation of fracture network is a valuable tool in the subsurface flow and transport applications.
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Three-dimensional stochastic simulations of soil clay and its response to sampling density
Zhang Shiwen,Zhang Lanlan,Li Zishuang,Wang Qingyun,Cui Hongbiao,Sun Zhongxiang,Ge Chang,Liu Huiling,Huang Yuan-fang +8 more
TL;DR: The main purpose of the paper was to simulate soil clay content in three dimensions and reveal its response to sampling density based on sequential Gaussian simulation, showing spatial correlation was relatively enhanced and randomness weakened.
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Petrophysical initialization of core-scale reactive transport simulations on Indiana limestones: Pore-scale characterization, spatial autocorrelations, and representative elementary volume analysis
TL;DR: In this article , the authors used high-resolution tomography with pore-scale calculations to determine the rock minimum representative volume (REV), porosity, permeability, and reactive surface area of carbonate limestones.
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Gravity observations for hydrocarbon reservoir monitoring
M.A. Glegola
- 05 Mar 2013
TL;DR: In this article, the added value of gravity observations for hydrocarbon reservoir monitoring and characterization is investigated, and the authors identify the reservoir processes and reservoir types most suitable for gravimetric monitoring.
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References
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
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Inverse Problem Theory and Methods for Model Parameter Estimation
Albert Tarantola
- 20 Dec 2004
TL;DR: This chapter discusses Monte Carol methods, the least-absolute values criterion and the minimax criterion, and their applications to functional inverse problems.
Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics
TL;DR: The approach proposed in this paper consists of borrowing the required multiple-point statistics from training images depicting the expected patterns of geological heterogeneities from the geostatistical numerical model where they are anchored to the actual data in a sequential simulation mode.
1.6K
The intrinsic random functions and their applications
TL;DR: The intrinsic random functions (IRF) are a particular case of the Guelfand generalized processes with stationary increments and constitute a much wider class than the stationary RF, and are used in practical applications for representing nonstationary phenomena as discussed by the authors.